Evidence map›Paper›PMID 41584893›Full record

ArticleJournal of Korean gerontological nursing2025

Age-specific prevalence and risk factors for severe activity of daily living disability among older adults residing in long-term care facilities in Korea: A cross-sectional study using first year of a longitudinal study.

Eunmi Oh, Gwi-Ryung Son Hong

Abstract read
In one paragraph

Article in Journal of Korean gerontological nursing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Eunmi OhAssistant Professor, School of Nursing, Shinhan University, Uijeongbu, Korea.ORCID 0000-0001-6825-5331
Gwi-Ryung Son HongProfessor, School of Nursing, Hanyang University, Seoul, Korea.ORCID 0000-0001-7460-4972

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study examined age-specific prevalence and associated factors of activities of daily living (ADL) disability. Methods: This cross-sectional analysis used first-year data from a longitudinal study. Participants were 564 older adults residing in nursing homes or long-term care hospitals. Data were analyzed using chi-square test and logistic regression. Results: The mean age of the participants was 83.58 years, and 65.4% had severe ADL disability. Severe ADL disability was significantly associated with being female in the young- old group (odds ratio [OR]=4.18, 95% confidence interval [95% CI]=1.04~16.83); incontinence (OR=3.22, 95% CI=1.58~6.55), dietary change (OR=4.74, 95% CI=1.47~15.26), low calf circumference (OR=3.09, 95% CI=1.10~8.66), suspected cognitive impairment (OR=3.27, 95% CI=1.35~7.96), and long-term care hospital residence (OR=2.41, 95% CI=1.09~5.36) in the mid-old group; and incontinence (OR=3.87, 95% CI=2.13~7.05), low calf circumference (OR=6.38, 95% CI=2.65~15.34), suspected cognitive impairment (OR=2.24, 95% CI=1.02~4.94), and long-term care hospital residence (OR=3.04, 95% CI=1.42~6.54) in the old-old age group. Conclusion: Findings highlight the need for age-specific management strategies: muscle strengthening and exercise programs for young-old females, integrated and simultaneous management for the mid-old, and strategies to maintain core physiological functions for the old-old. These findings support long-term care policies and contribute to developing care systems in an aged society.

Indexed as

Activities of daily livingAgedLong-term careNursing homesRisk factors

Identifiers

PMID41584893
PMCPMC12719995

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.